Architect, Enterprise AI

🕒 August 6

🐻 Alaska, Hawaii, +11 more states – Remote

🐻 Alaska – Remote 🌺 Hawaii – Remote 🦞 Maine – Remote 🗻 New Hampshire – Remote 🌶️ New Mexico – Remote 🌾 North Dakota – Remote 🎸 Mississippi – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote ⚔️ Virginia – Remote ⛰️ West Virginia – Remote 🦬 Wyoming – Remote

💵 $124.1k - $170k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 IT Support

👻 Ghost score 24%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Navitus Health Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2003

💼 Consulting

🛡️ Insurance

🏥 Healthcare

Consulting • Insurance • Healthcare

Navitus Health Solutions is a pharmacy benefit manager (PBM) that provides transparent, people-centered pharmacy benefit solutions to health plans, employers, government programs and other plan sponsors. The company operates a 100% pass-through, cost-plus model that emphasizes lowering medication costs, managing formularies, specialty drug management (including a cost-plus specialty pharmacy), claims adjudication, pharmacy network management, and member enablement and support services. Navitus positions itself as a fiduciary partner focused on affordability, compliance, clinical quality and improving health outcomes through tailored PBM services and digital health integrations.

📋 Description

• Define and maintain the enterprise AI architecture strategy, standards, and reference architectures for scalable adoption of AI, generative AI, and agentic AI. • Establish enterprise AI architecture patterns for generative AI, agentic workflows, RAG, model orchestration, and enterprise AI service integration. • Develop and implement AI governance frameworks and architectural guardrails for responsible, secure, and compliant AI use. • Evaluate and recommend AI platforms, large language model providers, orchestration frameworks, and supporting tooling. • Define AI integration patterns connecting AI capabilities with enterprise platforms, APIs, data platforms, and cloud services. • Define and promote Agentic AI patterns for workflow orchestration, tool integration, memory/context management, and human-in-the-loop capabilities. • Ensure Responsible AI and regulatory compliance, including data privacy, auditability, model transparency, and ethical AI practices. • Define AI operations standards covering model lifecycle management, monitoring, observability, deployment pipelines, and operational controls. • Establish AI security and cost-management practices for secure model access, data protection, usage controls, and infrastructure optimization. • Collaborate with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to guide AI adoption and solution architecture decisions. • Perform other duties as assigned.

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related field, or equivalent work experience, required. • 10+ years of experience in software development or architecture, including a minimum of 5 years focused on Artificial Intelligence and Machine Learning technologies, required. • Experience defining enterprise AI architecture patterns, model integration, orchestration frameworks, and AI-enabled application design within cloud or distributed systems. • Experience establishing or supporting AI governance frameworks, responsible AI practices, regulatory compliance, model lifecycle oversight, and enterprise guardrails. • Experience defining AI platform strategies, including evaluation and selection of enterprise AI platforms, large language models, and supporting tooling. • Experience designing AI integration patterns connecting AI capabilities with enterprise platforms, APIs, data platforms, and cloud services. • Experience implementing or guiding MLOps/LLMOps practices, including model deployment, monitoring, lifecycle management, and operational governance. • Experience addressing AI security, privacy, and cost management, including secure model access and sensitive-data protection. • Experience collaborating with enterprise architecture, engineering, data, and product teams. • Experience interviewing end-users regarding functionality, interfaces, problems, and usability issues. • Advanced development skills in multiple modern languages, including C#, React, and Python. • Participate in, adhere to, and support compliance program objectives. • Ability to interact cooperatively and respectfully with other employees. • AWS Certified Solutions Architect Professional certification preferred. • AWS Certified Machine Learning – Specialty certification preferred. • Responsible AI / AI Governance certification preferred. • Industry-recognized Certified AI Professional or equivalent AI/ML certification preferred. • Knowledge of PBM systems, claims adjudication processes, and payer/provider/pharmacy data exchange patterns preferred.

🏖️ Benefits

• STAR Bonus % (At Risk Maximum) 5.00 • Health insurance • Dental insurance • Vision insurance • 20 days paid time off • 4 weeks paid parental leave • 9 paid holidays • 401K company match of up to 5% - No vesting requirement • Adoption Assistance Program • Flexible Spending Account • Educational Assistance Plan • Professional Membership assistance • Referral Bonus Program – up to $750!

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume